DendroSync (version 0.1.4)

cswi.aSE: Within-group synchrony for homoscedastic compound symmetry model

Description

The function calculates the within-group synchrony (a^) and standard error (SE) for homoscedastic compound symmetry models (mCS).

Usage

cswi.aSE(model)

Arguments

model

a class "lme" compound symmetry model (mCS) produced by dendro.varcov with homoscedastic equals TRUE.

Value

The function returns a matrix containing within-group synchrony and SE for each combinations of varGroup levels. This function is used internally in sync.

Details

The function calculates within-group synchrony for homoscedastic compound symmetry model (mCS).

References

Shestakova, T.A., Aguilera, M., Ferrio, J.P., Gutierrez, E. & Voltas, J. (2014). Unravelling spatiotemporal tree-ring signals in Mediterranean oaks: a variance-covariance modelling approach of carbon and oxygen isotope ratios. Tree Physiology 34: 819-838.

Shestakova, T.A., Gutierrez, E., Kirdyanov, A.V., Camarero, J.J., Genova, M., Knorre, A.A., Linares, J.C., Resco de Dios, V., Sanchez-Salguero, R. & Voltas, J. (2016). Forests synchronize their growth in contrasting Eurasian regions in response to climate warming. Proceedings of the National Academy of Sciences of the United States of America 113: 662-667.

See Also

sync for a clear description of synchrony evaluation.

Examples

# NOT RUN {
## Calculate within-group homoscedastic synchrony and SE
 # for compound symmetry homocedastic model of conifersIP data:
 data(conifersIP)
 
 #Fit the homoscedastic set of varcov models (mBE, mNE, mCS, mUN)
 # using taxonomic grouping criteria (ie. Species)
 ModHm <- dendro.varcov(TRW ~ Code, varTime = "Year", varGroup = "Species", 
                        data = conifersIP, homoscedastic = TRUE)
 summary(ModHm)
   
 #Obtain the compound symmetry model within-group synchrony and SE
 # for each varGroup stratum.
 cswi.aSE(ModHm$mCS)#compound symmetry
   
# }